Instructions to use comfyuiman/scoobyltx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use comfyuiman/scoobyltx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("comfyuiman/scoobyltx", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72a4004336f4075955e71bdb1fc936f4882168b532d394bfed614df9e16ac5c2
- Size of remote file:
- 640 MB
- SHA256:
- e0705198edfcf0b9a405f69fa582ad1fd21177aa4374499325928cd1e46545a8
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